package net.bwie.realtime.jtp.dwd.log.joblx;

import com.alibaba.fastjson.JSON;
import net.bwie.realtime.jtp.dwd.log.functionlx.AdjustIsNew;
import net.bwie.realtime.jtp.dwd.log.functionlx.AppLogSplit;
import net.bwie.realtime.jtp.utils.KafkaUtil;
import org.apache.flink.api.java.functions.KeySelector;
import org.apache.flink.streaming.api.datastream.DataStream;
import org.apache.flink.streaming.api.datastream.KeyedStream;
import org.apache.flink.streaming.api.datastream.SideOutputDataStream;
import org.apache.flink.streaming.api.datastream.SingleOutputStreamOperator;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.streaming.api.functions.ProcessFunction;
import org.apache.flink.util.Collector;
import org.apache.flink.util.OutputTag;

public class jtpLogJob {
    public static void main(String[] args) throws Exception{
        // 1.执行环境-env
        StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
        env.setParallelism(1);
        
        // 2.数据源-source
        DataStream<String> kafkaDataStream = KafkaUtil.consumerKafka(env, "topic-log");
        kafkaDataStream.print("kafka");
        
        // 3.数据转换-transformation
        DataStream<String> pageStream = processLog(kafkaDataStream);
        // 4.数据输出-sink
        KafkaUtil.producerKafka(pageStream, "dwd-traffic-page-log");
        // 5.触发执行-execute
        env.execute("jtpLogJob");
    }

    private static DataStream<String> processLog(DataStream<String> Stream) {
        // 1-数据清洗
        DataStream<String> jsonStream = appLogCleaned(Stream);

        // 2-新老访客状态标记修复
        DataStream<String> etlStream = processIsNew(jsonStream);

        // 3-数据分流
        DataStream<String> pageStream = splitStream(etlStream);


        //返回数据流
        return pageStream;
    }

    private static DataStream<String> splitStream(DataStream<String> stream) {
        // 第1步、数据侧输出流标签
        final OutputTag<String> errorTag = new OutputTag<String>("error-log"){};
        final OutputTag<String> startTag = new OutputTag<String>("start-log"){};
        final OutputTag<String> displayTag = new OutputTag<String>("display-log"){};
        final OutputTag<String> actionTag = new OutputTag<String>("action-log"){};

        // 第2步、日志分流处理
        SingleOutputStreamOperator<String> pageStream = stream.process(
                new AppLogSplit(errorTag, startTag, displayTag, actionTag)
        );

        // 第3步、测流输出
        DataStream<String> errorStream = pageStream.getSideOutput(errorTag);
        KafkaUtil.producerKafka(errorStream,"dwd-traffic-error-log");
        DataStream<String> startStream = pageStream.getSideOutput(startTag);
        KafkaUtil.producerKafka(startStream,"dwd-traffic-start-log");
        DataStream<String> displayStream = pageStream.getSideOutput(displayTag);
        KafkaUtil.producerKafka(displayStream,"dwd-traffic-display-log");
        DataStream<String> actionStream = pageStream.getSideOutput(actionTag);
        KafkaUtil.producerKafka(actionStream,"dwd-traffic-action-log");


        // 第4步、输出主流
        return pageStream;
    }

    private static DataStream<String> processIsNew(DataStream<String> stream) {
        // a-创建侧输出流
        KeyedStream<String, String> midsStream = stream.keyBy(new KeySelector<String, String>() {
            @Override
            public String getKey(String value) throws Exception {
                return JSON.parseObject(value).getJSONObject("common").getString("mid");
            }
        });
        // b-状态编程。对is_new校验修复
        DataStream<String> isNewStream = midsStream.process(new AdjustIsNew());
        return isNewStream;
    }

    private static DataStream<String> appLogCleaned(DataStream<String> stream) {
        // a-脏数据侧边流
        final OutputTag<String> dirtyTag = new OutputTag<String>("dirty-log"){};

        // b-数据清理
        SingleOutputStreamOperator<String> cleanedStream = stream.process(new ProcessFunction<String, String>() {
            @Override
            public void processElement(String value, Context ctx, Collector<String> out) throws Exception {
                try {
                    // a-脏数据侧边流
                    JSON.parseObject(value);
                    // b.没有异常,解析正确，正常输出
                    out.collect(value);
                }catch (Exception e){
                    // c.捕获异常。侧边流
                    ctx.output(dirtyTag,value);
                }
            }
        });

        //c-侧边流数仓:脏数据

        SideOutputDataStream<String> dirtyStream = cleanedStream.getSideOutput(dirtyTag);
        KafkaUtil.producerKafka(dirtyStream,"dwd-traffic-dirty-log");

        //d-方法正常数据流
        return cleanedStream;
    }
}
